Smart classifier based prognostics and health management of induction motor

Author:

Jigyasu Rajvardhan,Shrivastava Vivek,Singh Sachin

Publisher

Elsevier BV

Subject

General Medicine

Reference20 articles.

1. Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques;Henao;EEE Ind. Electron. Mag.,2014

2. Condition monitoring and fault diagnosis of electrical machines-a review;Nandi;IEEE Transactions on Energy Conversion,2005

3. A Simplified Induction Machine Model to Study Rotor Broken Bar Effects and for Detection; European Transactions On Electrical;Santos;Power,2010

4. A current monitoring system for diagnosing electrical failures in induction motors;Acosta;Mechanical Systems and Signal Processing,2006

5. Induction Motors Bearing Failures Detection and Diagnosis Using a RBF ANN Park Pattern Based Method;Anel;International Review of Electrical Engineering,2007

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3. A Hybrid Feature Selection Based Machine Learning Model for Detection of Motor Faults;2024 7th International Conference on Electronics, Communications, and Control Engineering (ICECC);2024-03-22

4. Metaheuristic Approach for Bearing Fault Prediction;2023 IEEE International Symposium on Smart Electronic Systems (iSES);2023-12-18

5. Machine Learning Based Incipient Fault Diagnosis of Induction Motor;Communications in Computer and Information Science;2023-12-03

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